Training Program for Internet of Things Engineering
UndergraduatesVersion 2015
TRAINING GOALS
Have a solid foundation of science and engineering, solid professional knowledge and skills, practical applications skills, systems analysis and design ability, capacity to become an innovator in the field of computer science; basic literacy in academic research sufficient to continue to postgraduate education; humanistic literacy, knowledge of professional ethics and social responsibility;
good communication and coordination skills, teamwork, interdisciplinary collaboration skill as well as the international skill, in order to cultivate the future success for industry or academic and even management.
REQUIREMENTS
Undergraduate graduates majoring in Internet of Things Engineering must meet the following requirements:
1 Engineering Knowledge: master mathematics, natural science, engineering and computer science knowledge to solve complex engineering problems of computer system.
2 Problem Analysis: analysis based on the basic principles, using applied mathematics, natural sciences and engineering science to obtain valid conclusions for complex engineering problems in computer systems.
3 Design / Develop Solutions: able to design solutions for the engineering of complex computer systems, meeting the specific requirements of computer systems, components or processes; can embody a sense of innovation in design; consider the social, health, security, legal, cultural and environmental factors.
4 Research: Able to complex engineering problems using scientific methods, including experimental design, analysis and interpretation of data, and derive rational conclusions.
5 Using Modern Tools: be able to address complex computer systems engineering questions and development tasks by selecting and employing appropriate technologies, resources, and tools, including modeling and prediction techniques while also understanding of the limitations of such techniques.
6 Engineering and Society: be able to use engineering related background knowledge to do rational analysis, computer engineering and computer systems evaluation for engineering problems implementing social schemes, health, safety, legal and culturally oriented programs, with an understanding and perspective on related responsibilities.
7 Environment and Sustainable Development: to understand and evaluate engineering practices for complex computer systems engineering problems related to the environment, and understand sustainable development.
8 Occupation Specifications: have some humanistic and social science literacy, awareness of social responsibility, and abide by standards of professional ethics to carry out work responsibly.
9 Individuals and Team: can take responsibility as an individual in a multidisciplinary context, or as a team member taking the role of a responsible person.
10 Communication: have the ability to effectively communicate and exchange ideas about complex computer system engineering problems with industry peers and the public, including report writing and document design, statement making, clarity in expression and making authoritative responses. Also, have international sensitivity so as to be capable of communication in a cross-cultural context.
11 Project Management: understand and use decision making methods for project management; use economic principles in a multidisciplinary environment.
12 Independent Learning & Lifelong Learning: have the consciousness of lifelong learning and continuous learning and have the ability to adapt to technology and social development.
TRAINING CHARACTERISTICS
The major in the Ministry of education undergraduate professional directory belongs to computer science specialty. Our training program uses computer science engineering education accreditation standards as a criterion, combined with our school’s actual development. The training plan reinforces the computer, network and electronic subject core based knowledge, pays attention to intelligent information systems engineering co-op ability, cultivates scientific research and technical innovation and quality, strengthens the interdisciplinary and international exchange characteristics, focuses on the embedded mobile computing, computer network communication, wireless sensor, intelligent information processing, and many more professional concentrations.
LENGTH OF SCHOOLING, BASIC REQUIREMENTS FOR GRADUATION AND DEGREE GRANTING
1 Undergraduate basic educational system normally takes 4 years, with flexible learning time of 3-6 years, in accordance with the credit management system.
2 Students majoring in internet of things engineering graduate with at least 165 credits, including various types of courses and procedure requirements of credits. Credits required are listed in the following table:
Curriculum Category |
General Required |
Subject Core |
College Core |
Major Core |
Major Elective |
General Elective |
Focus Practice |
Total |
Credits |
24 |
24 |
29 |
18 |
32 |
8 |
30 |
165 |
3 The students who complete the training program consisting of required courses, elective courses and related courses, achieve the required minimum graduation marks, and complete the courses required with qualified ethics, intellectual and health. Meet the degree granting requirements of the relevant documents will be awarded the degree of Bachelor of Engineering.
THE CURRICULUM AND CREDIT DISTRIBUTION
(a) general education curriculum(compulsory 24 + (6) elective credits + 8 credits)
General education curriculum includes two parts. The compulsory and electives. Electives are in accordance with the Hunan University general elective courses (Quality Education) program. The general compulsory courses are as follows:
Course Code |
Course Name |
Credit |
Remarks |
GE01101 |
AN INTRODUCTION TO MAO ZEDONG THOUGHT AND THEORETICAL SYSTEM OF CHINESE CHARACTERISTICS SOCIALISM |
3 (+3) |
|
GE01039 |
ETHICS EDUCATION AND LAW FUNDAMENTALS |
1.5+(1.5) |
|
GE01100 |
SITUATION AND POLICY |
0.5+(1.5) |
|
GE01102 |
OUTLINE OF MODERN CHINESE HISTORY |
2 |
|
GE01103 |
THE BASIC PRINCIPLE OF THE MARX DOCTRINE (ONE) |
2 |
|
GE01104 |
THE BASIC PRINCIPLE OF THE MARX DOCTRINE (TWO) |
2 |
|
GE01012(-15) |
COLLEGE ENGLISH |
8 |
|
GE01107(-13) |
PSYCHOLOGICAL QUALITY AND CAREER DEVELOPMENT |
1 |
|
GE01089 (-92) |
PHYSICAL EDUCATION |
4 |
|
(b) subject core courses (24 credits)
Course Code |
Course Name |
Credit |
Remarks |
|
|
GE03025 |
HIGHER MATHEMATICS A (1) |
5 |
|
|
GE03025 |
HIGHER MATHEMATICS A (2) |
5 |
|
|
GE03003 |
LINEAR ALGEBRA A |
3 |
|
|
GE03004 |
PROBABILITY THEORY AND MATHEMATICAL STATISTICS A |
3 |
|
|
GE03005 |
GENERAL PHYSICS A (1) |
3 |
|
|
GE03006 |
GENERAL PHYSICS A (2) |
3 |
|
|
GE03007 |
GENERAL PHYSICS EXPERIMENT A (1) |
1 |
|
|
GE03008 |
GENERAL PHYSICS EXPERIMENT A (2) |
1 |
|
|
(c) college core courses (29 credits)
Course Code |
Course Name |
Credit |
Remarks |
|
|
CS04022 |
ADVANCED PROGRAM DESIGN |
4 |
|
|
CS04001 |
DISCRETE MATHEMATICS |
4 |
|
|
CS04002 |
DATA STRUCTURE |
4 |
|
|
CS05054 |
DIGITAL CIRCUITS AND LOGIC DESIGN |
4 |
|
|
CS04023 |
INTERNET OF THINGS SYSTEM |
4 |
|
|
CS05052 |
ALGORITHMS ANALYSIS AND DESIGN |
4 |
All English Lectures |
|
CS04021 |
PROGRAMMING STUDIO |
2 |
|
|
CS04024 |
DIGITAL SYSTEM EXPERIMENT |
1 |
|
|
CS04025 |
INTERNET OF THINGS SYSTEM PRINCIPLE EXPERIMENT |
2 |
|
|
(d) major core courses (18 credits)
Course Code |
Course Name |
Credit |
Remarks |
|
|
CS04007 |
OPERATING SYSTEMS PRINCIPLE |
4 |
|
|
CS05077 |
CIRCUIT ANALYSIS (INCLUDING CIRCUIT EXPERIMENT) |
3 |
|
|
CS05014 |
EMBEDDED INTERNET OF THINGS SYSTEM |
3 |
|
|
CS05078 |
COMPUTER NETWORK SYSTEM STRUCTURE |
4 |
|
|
CS05079 |
OPERATING SYSTEM EXPERIMENT |
2 |
|
|
CS05080 |
NETWORK PRINCIPLE AND SYSTEM EXPERIMENT |
2 |
|
|
(e) major elective courses (32 credits)
(1) major limited elective courses (11 credits)
The students must take 3 courses from the following in order to strengthen the major and professional foundation for a total of 11 credits.
Course Code |
Course Name |
Credit |
Remarks |
|
|
CS06168 |
MATHEMATICAL BASIS OF INFORMATION AND COMMUNICATION |
4 |
|
|
CS06169 |
SIGNAL PROCESSING FOUNDATION (INCLUDING "SIGNAL PROCESSING EXPERIMENT") |
3 |
|
|
CS06170 |
WIRELESS NETWORKS AND MOBILE COMPUTING |
4 |
|
|
(2) major all-you-can-choose elective courses (21 credits)
Major elective courses using a combination of concentration and optional courses, students first select all the courses from one concentration, and then from other concentrations (we encourage cross-concentration elective courses), in total choosing seven courses with a total of 21 credits. Courses offer are as follows:
Course Code |
Course Name |
Credit |
Remarks |
|
|
CS06153 |
IOT SYSTEM DESIGN |
3 |
Embedded System Concentration |
|
CS06154 |
EMBEDDED DATABASE SYSTEM |
3 |
|
CS06168 |
RECONFIGURABLE COMPUTING TECHNOLOGY |
3 |
|
CS06169 |
MODERN EMBEDDED SYSTEM DESIGN |
3 |
|
CS05007 |
INTERNET OF THINGS SYSTEM STRUCTURE |
3 |
System Structure Concentration |
|
CS06157 |
SOC DESIGN AND IMPLEMENTATION |
3 |
|
CS06158 |
MICROPROCESSOR DESIGN (INCLUDING "MICROPROCESSOR DESIGN EXPERIMENT") |
3 |
|
CS06170 |
VLSI COMPUTER AIDED DESIGN |
3 |
|
CS06160 |
COMBINATION OF OPTIMIZATION THEORY AND ALGORITHM |
3 |
Intelligent System Concentration |
|
CS06161 |
DIGITAL IMAGE PROCESSING |
3 |
|
CS06171 |
MACHINE LEARNING AND BIG DATA ANALYSIS |
3 |
|
CS06172 |
INTELLIGENT GRAPHICS ALGORITHM (ENGLISH) |
3 |
|
CS06164 |
INTRODUCTION TO INTERNET OF THINGS |
3 |
Internet Of Things Concentration (Students of this concentration are advised to choose "introduction to internet of things ", "RFID and sensor principle” and “wireless sensor networks” three courses.) |
|
CS06165 |
INTERNET OF THINGS COMMUNICATION TECHNOLOGY |
3 |
|
CS06166 |
RFID AND SENSOR PRINCIPLE |
3 |
|
CS06176 |
WIRELESS SENSOR NETWORKS |
3 |
|
Note:
1) We encourage students take major or cross-major elective courses, credits should be not less than 50% of “should have” credits.
2) During the period of study, if the student participated in academic competitions or published academic papers and the college identified (see < College of Computer Science and Electrical Engineering, Hunan University Academic Research Classification Guidance and Technology Innovation Achievements Guidance >), you may apply to substitute two elective credits.
(f) centralized practice (30 credits)
Course Code |
Course Name |
Credit |
Remarks |
GE01040 |
MILITARY TRAINING, MILITARY AND DEFENSE (INCLUDING MILITARY THEORY) |
0 |
|
CS10018 |
ENTRANCE EDUCATION AND IOT MAJOR INTRODUCTION |
0 |
|
GE09030 |
CHINESE WRITING TRAINING |
1 |
Year One Summer Semester |
GE09028 |
ENGLISH WRITING TRAINING |
1 |
GE09001 |
PROGRAM DESIGN |
2 |
CS10019 |
ELECTRONICS SYSTEM DESIGN |
2 |
Year Two Summer Semester |
CS10020 |
SOFTWARE DESIGN |
2 |
CS10021(22) |
SPECIALTY SYNTHETIC DESIGN |
4 |
Year Three Summer Semester (College designated synthetic design topics 1) |
CS10023 |
GRADUATION CO-OP PRACTICE |
2 |
The Eighth Semester |
CS10032 |
INTERNET OF THINGS SYSTEM EXPERIMENT |
2 |
Specialized practical course |
CS10026 |
GRADUATION DESIGN (INCLUDING SUPERVISOR TRAINING COURSE) |
14 |
Include 2 credits of supervisor training course. the supervisor training course is an "tutorial system" for a specific task, this course must be to project-oriented with the CDIO mode (Conceive, Design, Implement, Operate), at the same time teaching with discussion mode. each semester guide 3-6 students per session. the content of this course includes: undergraduate academic guidance, the first grade and second grade summer semester curriculum design supervision, the third grade summer semester curriculum design guidance, the fourth year undergraduate students graduation co-op practice and graduation design guidance. |
THE CURRICULUM SCHEDULE OF RESPONSIBLE TEACHERS
Serial Number |
Name |
Title |
Education |
Specialty |
Major courses (major core, major elective, general elective) |
1 |
LI Renfa |
PROFESSOR |
PhD |
embedded system and CPS |
Internet of things system |
2 |
KUANG Jishun |
PROFESSOR |
PhD |
Integrated circuit testing |
Digital logic, SOC design and implementation |
3 |
ZHAO Huan |
PROFESSOR |
PhD |
intelligent information processing |
Internet of things system |
4 |
PENG Manman |
PROFESSOR |
PhD |
Computer architecture |
Computer composition and design |
5 |
LUO Juan |
PROFESSOR |
PhD |
Internet of things and cloud computing |
Internet of things introduction, internet of things engineering design and implementation |
6 |
WU Qiang |
ASSOCIATE PROFESSOR |
PhD |
Advanced computing |
Computer composition and design, internet of things architecture |
7 |
YOU Zhiqiang |
ASSOCIATE PROFESSOR |
PhD |
Integrated circuit design |
Digital logic |
9 |
YANG Lei |
ASSOCIATE PROFESSOR |
PhD |
Distributed computing |
Computer network system, distributed computing system |
10 |
WANG Hanwu |
ASSOCIATE PROFESSOR |
PhD |
Wireless communication technology |
Wireless networks and mobile computing |
11 |
LI Rui |
LECTURER |
PhD |
Real-time system |
Operating system |
12 |
LIU Yan |
LECTURER |
PhD |
CPU design |
Internet of things system, reconfigurable computing technology |
13 |
HUANG Lida |
LECTURER |
Master |
Real-time calculation |
Internet of things system, real-time computing system design |
14 |
YUAN Wendan |
LECTURER |
PhD |
Digital system design |
Microelectronic circuits, electronic system design |
15 |
LING Chunqing |
LECTURER |
Master |
Low power system design |
Digital logic, electronic system design |
16 |
XIAO Ling |
LECTURER |
PhD |
Wearable computing |
Wireless networks and mobile computing, internet of things communication technology |
17 |
FU Bin |
LECTURER |
PhD |
Wireless communications and network |
Introduction of IOT, RFID and sensor principle |
MAJOR RESPONSIBLE PROFESSOR
Serial Number |
Name |
Title |
Education |
Specialty |
Major courses (major core, major elective, general elective) |
1 |
LUO Juan |
PROFESSOR |
PhD |
Internet of things and cloud computing |
Internet of things introduction, internet of things engineering design and implementation |
